Scientific data are posing new challenges to data management due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes increas...
Fusheng Wang, Pierre-Emmanuel Bourgue, Georg Hacke...
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
Mobile technology is particularly suited to a fully distributed (replicated) architecture for collaborative work. Users can maintain their own document copies, and can continue to...
Peer-to-peer (P2P) computing is gaining more and more significance due to its widespread use currently and potential deployments in future applications. In this paper, we propose ...
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...